POSITION SUMMARY:
The Data Coordinator will support cross-functional teams by performing administrative, system, and data-related activities to ensure accurate, complete, and timely information across clinical operations. This role will assist with data entry, data review, system maintenance, reporting, and other day-to-day data management activities.
This role also provides operational support for systems used across clinical research activities, including patient recruitment processes. This position works cross-functionally to maintain data quality, support system-related activities, troubleshoot routine issues, and help ensure information is accurately captured and available to support operational needs.
DUTIES AND RESPONSIBILITIES:
- Perform routine data entry, review, reconciliation, and maintenance activities to support the accuracy and completeness of clinical and operational data.
- Assist with the administration and maintenance of systems used by Data Management and other clinical operations functions.
- Collect, clean, transform, and validate large datasets from various sources to ensure data integrity.
- Monitor data for missing, incomplete, inconsistent, or inaccurate information and coordinate follow-up as appropriate.
- Apply data mining techniques (such as clustering, classification, association rules, and regression) through pattern and trend extraction to discover hidden relationships.
- Design, test, and deploy machine learning and statistical models for predictive and prescriptive analysis.
- Maintain system records, trackers, reports, spreadsheets, and other data management documentation.
- Create clear data visualizations and reporting dashboards to communicate findings to stakeholders.
- Support patient recruitment activities through data tracking, system administration, reporting, and maintenance of recruitment-related information.
- Assist with generating routine reports and data extracts to support patient recruitment, study operations, and departmental needs.
- Support system configuration, testing, implementation, upgrades, and process changes as assigned.
- Assist users with routine system questions and coordinate the resolution or escalation of system-related issues.
- Help develop and maintain system documentation, work instructions, data tracking tools, and departmental procedures.
- Perform routine quality checks to help ensure data integrity and consistency across systems and reports.
- Identify opportunities to streamline administrative processes, improve data tracking, and reduce manual activities.
- Collaborate with Data Management, Clinical Operations, Patient Recruitment, and other departments to support study and operational needs.
- Maintain appropriate confidentiality of patient, study, and company information.
- Perform other related duties and special projects as assigned.
JOB REQUIREMENTS / QUALIFICATIONS / EDUCATION:
Education:
- Bachelor’s degree in business analytics, data analytics, information systems, health sciences, life sciences, business, or a related field preferred.
Experience:
- Previous experience working with databases, business systems, data reporting, or data-driven processes preferred.
- Experience in clinical research, healthcare, life sciences, or a regulated environment is preferred but not required.
KNOWLEDGE, SKILLS, AND COMPETENCIES REQUIRED
- Strong attention to detail and commitment to data accuracy.
- Strong organizational skills with the ability to manage multiple tasks and priorities.
- Ability to work effectively with structured data, databases, spreadsheets, and business systems.
- Proficiency with Microsoft Excel and other Microsoft Office applications.
- Familiarity with data visualization, reporting, or database tools is preferred.
- Ability to learn new software applications and systems quickly.
- Ability to identify data inconsistencies and troubleshoot routine system or data issues.
- Strong written and verbal communication skills.
- Ability to work independently while collaborating effectively with cross-functional teams.
- Strong analytical and problem-solving skills.
- Ability to handle confidential and sensitive information appropriately.
CONDITIONS OF EMPLOYMENT
- Verification of educational requirements, employment history, professional references, and certifications/training and U.S. work authorization.
WORKING CONDITIONS AND PHYSICAL EFFORT
- Work is normally performed in a typical interior/office work environment, remotely or in a hybrid arrangement based on approval from the department manager/supervisor.
The above job description does not imply these outlined duties are the only duties performed by this employee. The incumbent is expected to perform other related duties necessary for the effective operation of the department and company.
ProSciento reserves the right to change or alter any of the above duties and responsibilities according to the operational needs of the department and company.
ProSciento is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Skills Required
- Bachelor's degree in business analytics, data analytics, information systems, health sciences, life sciences, business, or a related field
- Experience with databases, business systems, data reporting, or data-driven processes
- Experience in clinical research, healthcare, life sciences, or a regulated environment
- Proficiency with Microsoft Excel and Microsoft Office applications
- Ability to work with structured data, databases, spreadsheets, and business systems
- Strong attention to detail and commitment to data accuracy
- Strong organizational, analytical, problem-solving, written, and verbal communication skills
- Ability to troubleshoot routine system or data issues and learn new software applications quickly
- Ability to handle confidential and sensitive information appropriately
- U.S. work authorization
What We Do
ProSciento is a specialized contract research organization (CRO) focused on clinical development across the metabolic continuum. It supports pharmaceutical and biotechnology clients developing drugs and devices for conditions including diabetes, obesity, MASLD/MASH, cardiovascular disease, and chronic kidney disease. Its work spans clinical and regulatory planning, clinical trial design and execution, and specialized research-unit services, with patient, site, and scientific support for global programs.
